T.W. Anderson and his collaborators have made seminal contributions to inference with instrumental variables and to dynamic panel data models. We review these contributions and the extensive economic and statistical literature that these contributions spawned. We describe our recent work in these two areas, presenting new approaches to (a) making valid inferences in the presence of weak instrum...

This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression panel data model I develop an instrumental variables approach that employs lagged regressors as instruments. I show ...

This paper shows nonparametric identification of dynamic panel data models with nonseparable heterogeneity and dynamic selection by nonparametrically differencing out these two sources of bias. For T = 3, the model is identified by using a proxy variable. For T = 6, the three additional periods construct the proxy to establish identification. As a consequence of these identification results, a ...